Method and system for verifying electronic work tickets

Abstract

The present invention discloses a method and system for verifying electronic work tickets, which belongs to the field of power system application technology. The application method includes the following steps: obtaining work ticket data, specifically including: obtaining an electronic work ticket from a business system; extracting the work ticket face content, specifically including: extracting the face content of the electronic work ticket; extracting work ticket verification rules, specifically including: extracting the verification rules corresponding to the electronic work ticket from a verification rule library; verifying the work ticket face content item by item, specifically including: verifying the face content of the electronic work ticket using the verification rules corresponding to the extracted electronic work ticket; summarizing the work ticket verification results, specifically including: summarizing the verification results of the electronic work ticket and generating a verification report. The present invention solves the technical problems that the existing work ticket verification relies on the experience and professional ability of the verification personnel, is inefficient and has low reliability.

Description

Technical Field

[0001] The present invention relates to the technical field of power system applications, and in particular to a method and system for verifying electronic work tickets. Background Art

[0002] As the scale of the power grid continues to expand, the grid structure becomes more and more complex, and the work of operation, maintenance and inspection becomes more and more onerous, and the workload of issuing invoices is also increasing. At present, the issuance of power work invoices is all done manually, but the method of manually filling out and issuing work invoices is prone to errors and may lead to safety accidents.

[0003] Among them, the manual filling out and issuing of work tickets has the following main defects: First, the work ticket process procedures of manual operation are complicated and prone to errors. Specifically, the work ticket process, filling out and issuance links involving full human participation are prone to errors. There are problems such as irregular content filling, errors and omissions, unclear review and substandard technology, which may lead to power accidents; Second, the manual verification workload is large and the efficiency is low. The number of work tickets that need to be verified is large, and the verifiers need to verify them by manually checking the face of the ticket. It takes about 25 minutes on average to verify a work ticket, and the verification efficiency is not high; Third, the accuracy and reliability of manual verification are not high. The verification effect of the work ticket depends entirely on the experience and professional ability of the verifier himself, and it is difficult to guarantee accuracy and reliability. Summary of the Invention

[0004] The purpose of the present invention is to overcome the technical defects of the existing technology, propose a method and system for electronic work ticket verification, use information technologies such as big data and artificial intelligence, take the realization of lean management of work tickets as the starting point, rely on the data middle platform and the business middle platform, integrate the work ticket business system data, automatically obtain work tickets, extract the face information of the work ticket, extract the verification rules corresponding to the work ticket from the rule library, and check the face information of the work ticket one by one according to the verification rules to realize automatic verification of the work ticket, thereby solving the technical problems that the existing work ticket verification relies on the experience and professional ability of the verifier, is inefficient and has low reliability.

[0005] The present invention specifically adopts the following technical solution: a method for verifying an electronic work ticket, comprising the following steps:

[0006] Obtaining work ticket data, specifically including: obtaining electronic work tickets from the business system;

[0007] Extracting the face content of the work ticket, specifically including: extracting the face content of the electronic work ticket;

[0008] Extracting verification rules for work tickets, specifically including: extracting verification rules corresponding to electronic work tickets from a verification rule library; the verification rules are used to correspond to different event types in the ticket content;

[0009] Verify the contents of the work ticket item by item, specifically including: verifying the contents of the electronic work ticket by using the verification rules corresponding to the extracted electronic work ticket;

[0010] Summarize the verification results of work tickets, including: summarizing the verification results of electronic work tickets and generating verification reports.

[0011] As a preferred embodiment, the content of the electronic work ticket includes: the type of electronic work ticket, the number of the electronic work ticket, the unit that generates the electronic work ticket, the work leader information, the work team information, the work team personnel and number information, work tasks, work content, planned working hours, safety measures, work task order registration information, on-site briefing information, and personnel change information.

[0012] As a preferred embodiment, the work task includes work location and equipment information, work content, and the work location and equipment information specifically includes the transformer or distribution station, line name, dual name of the equipment and start and end pole number; the safety measures include: lines and equipment names that should be changed to maintenance status, circuit breakers, disconnectors, fuses that should be disconnected, and grounding switches that should be closed; the work task sheet registration information includes the work task sheet number, work task, team leader information, work task issuance time, and work completion report time; the on-site briefing information includes the work team members confirming the tasks assigned by the work leader, personnel division, safety measures and precautions and signing; the personnel change information includes changes in the work leader and staff changes, and the changes in the work leader include: original work leader information, new work leader information after the change, original work leader signature confirmation information, new work leader signature confirmation information, and issuance time; the staff changes include: new staff information and reduced staff information.

[0013] As a preferred embodiment, the verification rules include basic information verification rules and work content verification rules, and the basic information verification rules and work content verification rules respectively correspond to different event types in the ticket content;

[0014] The basic information proofreading rules include but are not limited to the proofreading rules for the type of electronic work ticket, the number of the electronic work ticket, the unit that generates the electronic work ticket, the work person in charge information, the work team information, the work team personnel and the number of personnel information;

[0015] The work content proofreading rules include but are not limited to proofreading rules for work tasks, work content, planned working hours, safety measures, work task sheet registration information, on-site briefing information, and personnel change information.

[0016] As a preferred embodiment, the step of extracting the verification rules corresponding to the electronic work ticket from the verification rule library includes:

[0017] Determine the event type corresponding to each verification rule and assign a unique index number based on the event type;

[0018] The object information, position information and action features in the work content proofreading rule are extracted, and then the rule statistical unit sequence of the work content proofreading rule is determined.

[0019] As a preferred embodiment, the extracted electronic work ticket type, electronic work ticket number, unit generating the electronic work ticket, work leader information, work team information, work team personnel and number information are checked against the corresponding basic information proofreading rules.

[0020] As a preferred embodiment, the steps of verifying the content of the work ticket using the work content verification rules include:

[0021] Segment the work ticket content based on the work ticket design layout, and determine the event type corresponding to each segmented content based on the location of the segmented work ticket and the extracted ticket content of each segmented part;

[0022] Determine the segmented content based on the event type corresponding to the segmented content and the extracted segmented content

[0023] The corresponding primary statistical unit sequence;

[0024] Modify the primary statistical unit sequence and / or the rule statistical unit sequence according to the repetition characteristics and action characteristics in the primary statistical unit sequence and the corresponding work content proofreading rules to obtain the ultimate statistical unit sequence and the modified rule statistical unit sequence;

[0025] Calculate the similarity between the sequence composed of CI, tar, and pla parts in the modified rule statistical unit sequence and the sequence composed of gCI, gtar, and gpla parts in the ultimate statistical unit sequence. When the similarity value is greater than or equal to the threshold α, it proves that the event type, object information, and location information of the segmented content have been verified;

[0026] When the similarity value is less than the threshold α, it proves that the event type, object information and location information of the segmented content are wrong, and manual verification is requested;

[0027] When the similarity value is greater than or equal to the threshold α, the trigonometric function similarity calculation method is used to calculate the quadratic similarity between the sequence composed of the refs and values ​​parts in the statistical unit sequence and the sequence composed of the grefs and gvalues ​​parts in the ultimate statistical unit sequence. When the quadratic similarity is greater than or equal to the threshold θ, it proves that the verification result of the segmented content has passed.

[0028] The corresponding content in each small column of the design layout of the work ticket is inconsistent, so the corresponding event type can be determined based on the position of the divided content in the design layout of the work ticket and the divided content.

[0029] As a preferred embodiment, the primary statistical unit sequence and the corresponding repeated features and action feature regions in the work content proofreading rules are combined to obtain a total feature set;

[0030] Determine whether all repeated features and action features in the total feature set exist in the rule statistical unit sequence; if so, record the rule statistical unit sequence as a revised rule statistical unit sequence; if repeated features and / or action features exist but do not exist in the rule statistical unit sequence, re-count the non-existent repeated features and / or action features and the number of repetitions corresponding to the repeated features into the rule statistical unit sequence, and the re-counted number of repetitions of the repeated features and action features is the actual number of occurrences, thereby obtaining a revised rule statistical unit sequence;

[0031] Determine whether all repeated features and action features in the total feature set exist in the primary statistical unit sequence. If so, record the primary statistical unit sequence as a modified regular statistical unit sequence. If repeated features and / or action features exist but do not exist in the primary statistical unit sequence, re-count the non-existent repeated features and / or action features and the number of repetitions corresponding to the repeated features into the primary statistical unit sequence, and the number of repetitions of the re-recorded repeated features and action features is the actual number of occurrences, thereby obtaining a final statistical unit sequence.

[0032] As a preferred embodiment, the rule statistics unit sequence:

[0033] <CI,tar,pla,ref,refs,value,values>

[0034] Wherein, CI represents the index number of the work content proofreading rule, tar represents the object information in the work content proofreading rule, pla represents the position information in the work content proofreading rule, ref represents the repeated feature in the work content proofreading rule, refs represents the number of repetitions of the repeated feature in the work content proofreading rule, value represents the action feature value in the work content proofreading rule, and values ​​represents the number of times the action feature appears in the work content proofreading rule;

[0035] The primary statistical unit sequence:

[0036] <gCI,gtar,gpla,gref,grefs,gvalue,gvalues>

[0037] Among them, gCI represents the index number of the event type corresponding to the segmented content, gtar represents the object information in the segmented content, gpla represents the location information in the segmented content, gref represents the repeated features in the segmented content, grefs represents the number of repetitions of the repeated features in the segmented content, gvalue represents the action feature value in the segmented content, and gvalues ​​represents the number of times the action feature appears in the segmented content.

[0038] The action characteristics include but are not limited to tripping, circuit breaker, disconnector, fuse, closing of the earthing switch that should be closed, personnel change, power outage scope, safety measures, etc.

[0039] Each device in an action feature corresponds to a unique point number. At least one 0 and 1 are used to represent the state of the device in the action feature. The difference between the previous and next changes is used to represent personnel changes and the scope of power outages. When the state of the device in the action feature is only two, for example, tripping is represented by 1 and not tripping is represented by 1. When the state of the device in the action feature is up to four, it can be represented by 00, 01, 10 and 11.

[0040] Repeated features refer to keywords, equipment action features, location information, objects, etc. that appear repeatedly in the work content proofreading rules.

[0041] The present invention also proposes a system for verifying electronic work tickets, comprising:

[0042] The data dashboard module specifically implements the following: Using chart visualization, it comprehensively displays real-time KPI data on electronic work ticket violations from a time and professional perspective. The KPI data includes the electronic work ticket pass rate, the number of violations for each type of electronic work ticket, the violation status of each professional electronic work ticket, and the proportion of violation modules. The various types of electronic work tickets include substation electronic work tickets, power line electronic work tickets, and distribution station electronic work tickets.

[0043] The professional electronic work tickets include: substation professional electronic work tickets, transmission professional electronic work tickets, and distribution professional electronic work tickets.

[0044] The verification strategy management module specifically implements the following: establishing an electronic work ticket verification rule library based on the expert system to support the verification of electronic work tickets. The page displays the verification rules for all electronic work tickets for substation, transmission, and distribution. It provides a way to view the rule content, source, violation level, and violation module, and supports the deletion of rules.

[0045] The work ticket data management module specifically performs the following operations: relying on the business middle platform, sending an electronic work ticket viewing and query service interface request to the business system to obtain an electronic work ticket that has been issued and is in a pending execution state; the face content of the electronic work ticket that has been issued and is in a pending execution state in the work ticket data management module includes: equipment name, operation risk level information, team information, work supervisor information, work ticket issuer information, work ticket co-signer information, work unit, working time start date, working time end date, ticket making time, work ticket number, work ticket type, work ticket status, and operation details information;

[0046] The work ticket security risk warning module specifically implements: based on the electronic work ticket verification rule library established by the expert system, the verification rules corresponding to each field of the structured data of the electronic work ticket are extracted from the rule library, and the face information of the electronic work ticket is checked item by item according to the extracted verification rules to verify the electronic work ticket.

[0047] As a preferred embodiment, the content displayed through the page in the verification strategy management module includes: the profession and type of the electronic work ticket, the work ticket status, the violation module of the electronic work ticket, the violation content, the verification problem description, the work ticket verification rule clauses, the violation level, the verification rule editing and operation.

[0048] As a preferred embodiment, the verification of the electronic work ticket in the work ticket safety risk warning module includes: verification of one person holding two electronic work tickets at the same time, verification of the actual working time of the electronic work ticket exceeding the planned working time, verification of the electronic work ticket not delivered one day in advance, verification of the work person in charge, work team name and concurrent positions of work team members in the electronic work ticket, and advance machine-printed verification of the grounding wire number.

[0049] In operation, the present invention obtains an electronic work ticket from a business system, extracts the face content of the electronic work ticket, extracts the verification rules corresponding to the electronic work ticket from a verification rule library, verifies the face content of the electronic work ticket by using the verification rules corresponding to the extracted electronic work ticket, summarizes the verification results of the electronic work ticket, generates a verification report, and uses electronic work tickets with data stream attributes to replace traditional work tickets with manual attributes. It uses information technologies such as big data and artificial intelligence as a whole to achieve lean management of electronic work tickets. Relying on the data middle platform and the business middle platform, it integrates the electronic work ticket business system data, improves work efficiency, greatly shortens the verification time, and improves the accuracy and reliability of work ticket data, which completely solves the technical problems that the existing work ticket verification relies on the experience and professional ability of the verifier, is inefficient and has low reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 It is a schematic flow chart of the method of the present invention;

[0051] Figure 2 Schematic diagram of the system topology of the present invention. DETAILED DESCRIPTION

[0052] The present invention will be further described below in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present invention and are not intended to limit the scope of protection of the present invention.

[0053] Example 1: The present invention proposes a method for verifying an electronic work ticket, comprising the following steps:

[0054] Obtaining work ticket data, specifically including: obtaining electronic work tickets from the business system;

[0055] Extracting the face content of the work ticket, specifically including: extracting the face content of the electronic work ticket;

[0056] Extracting work ticket verification rules specifically includes: extracting verification rules corresponding to the electronic work ticket from a verification rule library; the verification rules are used to correspond to different event types in the ticket content; each ticket content of the electronic work ticket corresponds to a unique event type; the verification rules include basic information verification rules and work content verification rules;

[0057] The basic information proofreading rules include but are not limited to the proofreading rules for the type of electronic work ticket, the number of the electronic work ticket, the unit that generated the electronic work ticket, the work person in charge information, the work team information, the work team personnel and the number of personnel; the work content proofreading rules include but are not limited to the proofreading rules for work tasks, work content, planned working hours, safety measures, work task sheet registration information, on-site briefing information, and personnel change information;

[0058] The step of extracting the verification rules corresponding to the electronic work ticket from the verification rule library includes:

[0059] Determine the event type corresponding to each work content proofreading rule and assign a unique index number based on the event type; extract the object information, location information, and action features in the work content proofreading rule, and then determine the rule statistical unit sequence of the work content proofreading rule;

[0060] Verify the contents of the work ticket item by item, specifically including: verifying the contents of the electronic work ticket by using the verification rules corresponding to the extracted electronic work ticket;

[0061] Summarize the verification results of work tickets, including: summarizing the verification results of electronic work tickets and generating verification reports.

[0062] As a preferred embodiment, the content of the electronic work ticket includes: the type of electronic work ticket, the number of the electronic work ticket, the unit that generates the electronic work ticket, the work leader information, the work team information, the work team personnel and number information, work tasks, work content, planned working hours, safety measures, work task order registration information, on-site briefing information, and personnel change information.

[0063] As a preferred embodiment, the work task includes work location and equipment information, work content, and the work location and equipment information specifically includes the transformer or distribution station, line name, dual name of the equipment and start and end pole number; the safety measures include: lines and equipment names that should be changed to maintenance status, circuit breakers, disconnectors, fuses that should be disconnected, and grounding switches that should be closed; the work task sheet registration information includes the work task sheet number, work task, team leader information, work task issuance time, and work completion report time; the on-site briefing information includes the work team members confirming the tasks assigned by the work leader, personnel division, safety measures and precautions and signing; the personnel change information includes changes in the work leader and staff changes, and the changes in the work leader include: original work leader information, new work leader information after the change, original work leader signature confirmation information, new work leader signature confirmation information, and issuance time; the staff changes include: new staff information and reduced staff information.

[0064] Example 2: The present invention also proposes a system for verifying electronic work tickets, comprising:

[0065] The data dashboard module specifically implements the following: Using chart visualization, it comprehensively displays real-time KPI data on electronic work ticket violations from a time and professional perspective. This KPI data includes the electronic work ticket qualification rate, the number of violations for each type of electronic work ticket, the number of violations for each professional electronic work ticket, and the proportion of violation modules. This allows safety inspectors and management decision-makers to fully, accurately, and promptly grasp key business scenario information, thereby supporting efficient and scientific management decisions.

[0066] The verification strategy management module specifically implements the following: establishing an electronic work ticket verification rule library based on the expert system to support the verification of electronic work tickets. The page displays the verification rules for all electronic work tickets for substation, transmission, and distribution. It provides a way to view the rule content, source, violation level, and violation module, and supports the deletion of rules.

[0067] The work ticket data management module specifically implements the following: relying on the business middle platform, it sends electronic work ticket viewing and query service interface requests to the business system PMS3.0 to obtain electronic work tickets that have been issued and are in the pending execution state, ensuring the real-time and accuracy of work ticket data collection, and providing precise data support for intelligent verification of work tickets;

[0068] The work ticket security risk warning module specifically implements: based on the electronic work ticket verification rule library established by the expert system, the verification rules corresponding to each field of the structured data of the electronic work ticket are extracted from the rule library, and the face information of the electronic work ticket is checked item by item according to the extracted verification rules to verify the electronic work ticket.

[0069] As a preferred embodiment, the various types of electronic work tickets include: substation electronic work tickets, power line electronic work tickets, and distribution station electronic work tickets.

[0070] As a preferred embodiment, the professional electronic work tickets include: a professional electronic work ticket for power transformation, a professional electronic work ticket for power transmission, and a professional electronic work ticket for power distribution.

[0071] As a preferred embodiment, the face content of the electronic work ticket that has been issued and is in the pending execution state in the work ticket data management module includes: equipment name, operation risk level information, team information, work supervisor information, work ticket issuer information, work ticket co-signer information, work unit, working time start date, working time end date, ticket making time, work ticket number, work ticket type, work ticket status, and operation details information.

[0072] As a preferred embodiment, the content displayed through the page in the verification strategy management module includes: the profession and type of the electronic work ticket, the work ticket status, the violation module of the electronic work ticket, the violation content, the verification problem description, the work ticket verification rule clauses, the violation level, the verification rule editing and operation.

[0073] It should be noted that the professional aspects of electronic work tickets involve power transformation, transmission and distribution, and the types involve specific equipment, lines, and distribution stations; the violation module of the electronic work ticket involves the part of the electronic work ticket where violations occur, including the name of the transformer and distribution station and the dual name of the equipment, safety measures, work tasks, work shift personnel (excluding the person in charge of the work), operation risk level, issuance and countersignature of the work ticket, team, unit, person in charge of the work, and time of receipt of the work ticket; violation contents include: equipment does not use dual names and numbers, equipment names and numbers are filled in incorrectly, the safe distance between the crane and the live equipment is not explained or is filled in incorrectly, the safe distance or distance to the live equipment that needs to be maintained is not explained The work location is not indicated in the work task column, such as the 110KV equipment area and the main control room. The work team members are not indicated in front of the work team members. The work risk level is not indicated on the work ticket. The work ticket is not "double-issued" despite the contracting of the project. There are multiple teams but the team name is not filled in as "comprehensive team". The personnel are not allowed to enter, the unit is not allowed to enter, the issuer does not have the issuer qualification, the work supervisor does not have the work supervisor qualification, the work supervisor on the ticket and the work ticket issuer are the same person, and the specific work ticket is not delivered to the operation and maintenance personnel one day in advance; the classification of the operation risk level is determined according to whether it is energized, whether it is ultra-high voltage, whether it is operation and maintenance or inspection, and whether it is manned or unmanned.

[0074] As a preferred embodiment, the verification of the electronic work ticket in the work ticket safety risk warning module includes: verification of one person holding two electronic work tickets at the same time, verification of the actual working time of the electronic work ticket exceeding the planned working time, verification of the electronic work ticket not delivered one day in advance, verification of the work person in charge, work team name and concurrent positions of work team members in the electronic work ticket, and advance machine-printed verification of the grounding wire number.

[0075] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0076] Example 3 The steps of using basic information verification rules to verify the content of the work ticket include:

[0077] The extracted electronic work ticket type, electronic work ticket number, unit generating the electronic work ticket, work leader information, work team information, work team personnel and number information are checked against the corresponding basic information proofreading rules.

[0078] For the electronic work ticket type, the basic information of text type such as the unit that generates the electronic work ticket, work leader information, work team information, work team personnel, etc. can be proofread using the text similarity method and the corresponding basic information proofreading rules. The basic information of digital type can be converted into a unified format and proofread using digital matching or similarity calculation methods and the corresponding basic information proofreading rules.

[0079] For example, the unit that generated the electronic work ticket from the extracted ticket content is XX Co., Ltd., and the person in charge of the work is Zhang Shu;

[0080] Proofreading rules for basic information of the unit generating electronic work tickets: XX Co., Ltd.

[0081] Basic information proofreading rules for the person in charge of the work: Zhang Shu, Liu Yang...;

[0082] The text similarity method is used to calculate the similarity between the basic information proofreading rule of the unit generating the electronic work ticket "XX Co., Ltd." and the unit generating the electronic work ticket "XX Co., Ltd." of the extracted ticket content, which is 100%, proving that the verification has passed;

[0083] The text similarity method is used to calculate the similarity between each sub-rule Zhang Shu, Liu Yang, etc. in the basic information proofreading rules of the work supervisor information and the extracted work supervisor information "Zhang Shu". If there is no rule with a similarity of 100%, it proves that there is content in the work supervisor information that needs to be verified.

[0084] Example 4 The steps of verifying the content of a work ticket using the work content verification rules include:

[0085] S1. Segment the work ticket content based on the work ticket design layout, and determine the event type corresponding to each segmented content based on the position of the work ticket segmentation and the ticket content extracted from each segmented part;

[0086] S2. Determine the segmented content based on the event type corresponding to the segmented content and the extracted segmented content

[0087] The corresponding primary statistical unit sequence;

[0088] S3. Modify the primary statistical unit sequence and / or the rule statistical unit sequence according to the repetitive features and action features in the primary statistical unit sequence and the corresponding work content proofreading rules to obtain the final statistical unit sequence and the modified rule statistical unit sequence. The specific execution steps include:

[0089] S301, taking a union of the primary statistical unit sequence and the repeated features and action features in the corresponding work content proofreading rules to obtain a total feature set;

[0090] S302: Determine whether all repeated features and action features in the total feature set exist in the rule statistical unit sequence. If so, record the rule statistical unit sequence as a revised rule statistical unit sequence. If repeated features and / or action features exist but do not exist in the rule statistical unit sequence, re-count the non-existent repeated features and / or action features and the number of repetitions corresponding to the repeated features into the rule statistical unit sequence, and the re-counted number of repetitions of the repeated features and action features is the actual number of occurrences, thereby obtaining a revised rule statistical unit sequence.

[0091] S303. Determine whether all repeated features and action features in the total feature set exist in the primary statistical unit sequence. If so, record the primary statistical unit sequence as a modified regular statistical unit sequence. If repeated features and / or action features exist but do not exist in the primary statistical unit sequence, re-count the non-existent repeated features and / or action features and the number of repetitions corresponding to the repeated features into the primary statistical unit sequence, and the re-recorded number of repetitions of the repeated features and action features is the actual number of occurrences, thereby obtaining a final statistical unit sequence.

[0092] S4. Use the trigonometric function similarity calculation method or the text similarity calculation correction rule to calculate the similarity between the sequence consisting of the CI, tar and pla parts in the statistical unit sequence and the sequence consisting of the gCI, gtar and gpla parts in the ultimate statistical unit sequence. When the similarity value is greater than or equal to the threshold value α, it proves that the event type, object information and location information of the segmented content have passed the verification. Then use the trigonometric function similarity calculation method to calculate the secondary similarity between the sequence consisting of the refs and values ​​parts in the statistical unit sequence and the sequence consisting of the grefs and gvalues ​​parts in the ultimate statistical unit sequence. When the secondary similarity is greater than the threshold value θ, it proves that the verification result of the segmented content has passed.

[0093] Among them, the rule statistical unit sequence is:

[0094] <CI,tar,pla,ref,refs,value,values>

[0095] Among them, CI represents the index number of the work content proofreading rule, tar represents the object information in the work content proofreading rule, pla represents the location information in the work content proofreading rule, ref represents the repeated feature in the work content proofreading rule, refs represents the number of repetitions of the repeated feature in the work content proofreading rule, value represents the action feature value in the work content proofreading rule, and values ​​represents the number of times the action feature appears in the work content proofreading rule; for example, the index number of the event type is 21, and the work content proofreading rule is: in area 9, high-voltage equipment 11, high-voltage equipment 11, high-voltage equipment 13 and high-voltage equipment 14 are all out of power, or high-voltage equipment 11 and high-voltage equipment 12 are out of power, and high-voltage equipment 13 and high-voltage equipment 14 continue to use power;

[0096] Among them, tar is 11, 12, 13, 14, 5 (indicating the electricity number), pla: 9, ref: 11, 12, 13, 14, 11.50, 12.50 (indicating a power outage on high-voltage equipment 12), refs: 2, 2, 2, 2, 2, value: 50, 51 (indicating electricity consumption), values: 2, 1;

[0097] Primary Statistics Unit Sequence:

[0098] <gCI,gtar,gpla,gref,grefs,gvalue,gvalues>

[0099] Among them, gCI represents the index number of the event type corresponding to the segmented content, gtar represents the object information in the segmented content, gpla represents the position information in the segmented content, gref represents the repeated features in the segmented content, grefs represents the number of repetitions of the repeated features in the segmented content, gvalue represents the action feature value in the segmented content, and gvalues ​​represents the number of times the action feature appears in the segmented content.

[0100] For example, if the extracted work content is: high-voltage equipment 11, high-voltage equipment 11, high-voltage equipment 13, and high-voltage equipment 14 in area 9 are all out of power, or high-voltage equipment 11 and high-voltage equipment 12 are out of power, the corresponding event type index number is 21;

[0101] Among them, in the primary statistical unit sequence, gtar is 11, 12, 13, 14, 5 (indicating the electrical number), gpla: 9, gref: 11, 12, 11.50, 12.50, grefs: 2, 2, 2, 2, gvalue: 50;

[0102] Since the repeated characteristics of the high-voltage equipment 13 and the high-voltage equipment 14 being completely out of power and / or the action characteristic of the power consumption 51 are not in the primary statistical unit sequence, the primary statistical unit sequence is modified to obtain the ultimate statistical unit sequence;

[0103] Among them, in the ultimate statistical unit sequence, gtar is 11, 12, 13, 14, 5 (indicating the electrical label), gpla: 9, gref: 11, 12, 13, 14, 11.50, 12.50, grefs: 2, 2, 1, 1, 2, 2, gvalue: 50, 51, gvalues: 2, 0.

[0104] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 These computer program instructions can also be stored in a computer-readable memory that can guide a computer or other programmable data processing device to work in a specific way, so that the instructions stored in the computer-readable memory produce a product including the instruction device, which implements the function specified in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0105] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of protection of the claims of the present invention.

Claims

1. A method for verifying an electronic work ticket, characterized in that: The steps include: Obtaining work ticket data, specifically including: obtaining electronic work tickets from the business system; Extracting the face content of the work ticket, specifically including: extracting the face content of the electronic work ticket; Extracting the verification rules of the work ticket specifically includes: extracting the verification rules corresponding to the electronic work ticket from the verification rule library; the verification rules are used to correspond to different event types in the ticket content; the step of extracting the verification rules corresponding to the electronic work ticket from the verification rule library includes: Determine the event type corresponding to each verification rule and assign a unique index number based on the event type; Extracting object information, location information, and action features from the work content proofreading rules, and then determining a rule statistical unit sequence for the work content proofreading rules; The content of the work ticket is checked item by item, specifically including: checking the content of the electronic work ticket by using the verification rules corresponding to the extracted electronic work ticket; the steps of checking the content of the work ticket by using the work content verification rules include: Segment the work ticket content based on the work ticket design layout, and determine the event type corresponding to each segmented content based on the location of the segmented work ticket and the extracted ticket content of each segmented part; Determining a primary statistical unit sequence corresponding to the segmented content based on an event type corresponding to the segmented content and the extracted segmented content; Modify the primary statistical unit sequence and / or the rule statistical unit sequence according to the repetition characteristics and action characteristics in the primary statistical unit sequence and the corresponding work content proofreading rules to obtain the ultimate statistical unit sequence and / or the modified rule statistical unit sequence; Calculate the similarity between the sequence of CI, tar, and pla parts in the modified rule statistical unit sequence and the sequence of gCI, gtar, and gpla parts in the ultimate statistical unit sequence. When the similarity value is greater than or equal to the threshold α, it proves that the event type, object information, and location information of the segmented content have been verified. When the similarity value is less than the threshold α, it proves that the event type, object information and location information of the segmented content are wrong, and manual verification is requested; When the similarity value is greater than or equal to the threshold α, the trigonometric function similarity calculation method is used to calculate the quadratic similarity between the sequence of refs and values ​​in the statistical unit sequence and the sequence of grefs and gvalues ​​in the ultimate statistical unit sequence. When the quadratic similarity is greater than or equal to the threshold θ, it proves that the verification result of the segmented content has passed. Summarize the verification results of work tickets, including: summarizing the verification results of electronic work tickets and generating verification reports; The rule statistics unit sequence: <CI,tar,pla,ref,refs,value,values> Wherein, CI represents the index number of the work content proofreading rule, tar represents the object information in the work content proofreading rule, pla represents the position information in the work content proofreading rule, ref represents the repeated feature in the work content proofreading rule, refs represents the number of repetitions of the repeated feature in the work content proofreading rule, value represents the action feature value in the work content proofreading rule, and values ​​represents the number of times the action feature appears in the work content proofreading rule; The primary statistical unit sequence: <gCI,gtar,gpla,gref,grefs,gvalue,gvalues> Among them, gCI represents the index number of the event type corresponding to the segmented content, gtar represents the object information in the segmented content, gpla represents the location information in the segmented content, gref represents the repeated features in the segmented content, grefs represents the number of repetitions of the repeated features in the segmented content, gvalue represents the action feature value in the segmented content, and gvalues ​​represents the number of times the action feature appears in the segmented content.

2. The method for verifying an electronic work ticket according to claim 1, characterized in that: The contents of the electronic work ticket include: the type of electronic work ticket, the number of the electronic work ticket, the unit that generated the electronic work ticket, the work leader information, the work team information, the work team personnel and number information, the work tasks, the work content, the planned working time, the safety measures, the work task order registration information, the on-site briefing information, and the personnel change information.

3. The method for verifying an electronic work ticket according to claim 2, characterized in that: The work task includes the work location and equipment information, and the work content. The work location and equipment information specifically includes the transformer or distribution station, line name, dual name of the equipment and start and end pole numbers; the safety measures include: lines and equipment names that should be changed to maintenance status, circuit breakers, disconnectors, fuses that should be disconnected, and grounding switches that should be closed; the work task sheet registration information includes the work task sheet number, work task, team leader information, work task issuance time, and work completion report time; the on-site briefing information includes the work team members confirming and signing the tasks assigned by the work leader, personnel division, safety measures and precautions; the personnel change information includes changes in the work leader and staff changes. The work leader changes include: original work leader information, new work leader information after the change, original work leader signature confirmation information, new work leader signature confirmation information, and issuance time; staff changes include: new staff information and reduced staff information.

4. The method for verifying an electronic work ticket according to claim 1, characterized in that: The verification rules include basic information verification rules and work content verification rules, which correspond to different event types in the ticket content respectively; The basic information proofreading rules include proofreading rules for the type of electronic work ticket, the number of the electronic work ticket, the unit that generated the electronic work ticket, the work person in charge information, the work team information, the work team personnel and the number of personnel information; The work content proofreading rules include proofreading rules for work tasks, work content, planned working hours, safety measures, work task sheet registration information, on-site briefing information, and personnel change information.

5. The method for verifying an electronic work ticket according to claim 4, characterized in that: The extracted electronic work ticket type, electronic work ticket number, unit generating the electronic work ticket, work leader information, work team information, work team personnel and number information are checked against the corresponding basic information proofreading rules.

6. The method for verifying an electronic work ticket according to claim 1, characterized in that: Taking a union of the primary statistical unit sequence and the repeated features and action feature regions in the corresponding work content proofreading rules to obtain a total feature set; Determine whether all repeated features and action features in the total feature set exist in the rule statistical unit sequence; if so, record the rule statistical unit sequence as a revised rule statistical unit sequence; if repeated features and / or action features exist but do not exist in the rule statistical unit sequence, re-count the non-existent repeated features and / or action features and the number of repetitions corresponding to the repeated features into the rule statistical unit sequence, and the re-counted number of repetitions of the repeated features and action features is the actual number of occurrences, thereby obtaining a revised rule statistical unit sequence; Determine whether all repeated features and action features in the total feature set exist in the primary statistical unit sequence. If so, record the primary statistical unit sequence as a modified regular statistical unit sequence. If repeated features and / or action features exist but do not exist in the primary statistical unit sequence, re-count the non-existent repeated features and / or action features and the number of repetitions corresponding to the repeated features into the primary statistical unit sequence, and the number of repetitions of the re-recorded repeated features and action features is the actual number of occurrences, thereby obtaining a final statistical unit sequence.

7. A system for electronic work ticket verification, for implementing the method for electronic work ticket verification according to any one of claims 1 to 6, It is characterized by: include: The data dashboard module specifically implements the following: Using chart visualization, it comprehensively displays real-time KPI data on electronic work ticket violation verification from the time and professional dimensions. The KPI data includes the electronic work ticket pass rate, the number of violations for each type of electronic work ticket, the number of electronic work ticket violations for each professional field, and the proportion of violation modules. The various types of electronic work tickets include: substation electronic work tickets, power line electronic work tickets, and distribution station electronic work tickets; The professional electronic work tickets include: substation professional electronic work ticket, transmission professional electronic work ticket, distribution professional electronic work ticket; The verification strategy management module specifically implements the following: establishing an electronic work ticket verification rule library based on the expert system to support the verification of electronic work tickets. The page displays the verification rules for all electronic work tickets for substation, transmission, and distribution. It provides a way to view the rule content, source, violation level, and violation module, and supports the deletion of rules. The work ticket data management module specifically implements the following: relying on the business middle platform, sending an electronic work ticket viewing and query service interface request to the business system to obtain the electronic work ticket that has been issued and is in the pending execution state; the content of the electronic work ticket that has been issued and is in the pending execution state includes: equipment name, operation risk level information, team information, work person in charge information, work ticket issuer information, work ticket co-signer information, work unit, working time start date, working time end date, ticket issuance time, work ticket number, work ticket type, work ticket status, and operation details; The work ticket security risk warning module specifically implements: based on the electronic work ticket verification rule library established by the expert system, the verification rules corresponding to each field of the structured data of the electronic work ticket are extracted from the rule library, and the face information of the electronic work ticket is checked item by item according to the extracted verification rules to verify the electronic work ticket.

8. The system for electronic work ticket verification according to claim 7, characterized in that: The content displayed on the page in the verification strategy management module includes: the profession and type of the electronic work ticket, the status of the work ticket, the violation module of the electronic work ticket, the violation content, the verification problem description, the work ticket verification rule clauses, the violation level, the verification rule editing and operation.

9. The system for electronic work ticket verification according to claim 7, characterized in that: The verification of the electronic work ticket in the work ticket safety risk warning module includes: verification of one person holding two electronic work tickets at the same time, verification of the actual working time of the electronic work ticket exceeding the planned working time, verification of the electronic work ticket not delivered one day in advance, verification of the work person in charge, work team name and concurrent positions of work team members in the electronic work ticket, and advance machine-printed verification of the grounding wire number.

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